Performance comparison of Malaysian air pollution index prediction using nonlinear autoregressive exogenous artificial neural network and support vector machine

• Main Authors: Rosminah Mustakim, Mazlina Mamat
• Format: Proceedings
• Language: English; English
• Published: EDP Sciences 2021
• Subjects: Q1-390 Science (General); TD878-894 Special types of environment Including soil pollution, air pollution, noise pollution
• Online Access: https://eprints.ums.edu.my/id/eprint/32536/1/Performance%20comparison%20of%20Malaysian%20air%20pollution%20index%20prediction%20using%20nonlinear%20autoregressive%20exogenous%20artificial%20neural%20network%20and%20support%20vector%20machine.ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/32536/2/Performance%20comparison%20of%20Malaysian%20air%20pollution%20index%20prediction%20using%20nonlinear%20autoregressive%20exogenous%20artificial%20neural%20network%20and%20support%20vector%20machine.pdf; https://eprints.ums.edu.my/id/eprint/32536/; https://www.e3s-conferences.org/articles/e3sconf/abs/2021/63/e3sconf_icpeam2020_04001/e3sconf_icpeam2020_04001.html

This paper compares the performance of Nonlinear Autoregressive Exogenous (NARX) Neural Network and Support Vector Machine (SVM) regression model to predict the Air Pollutant Index (API) in Malaysia. Two models namely the NARX and SVM regression were developed using the API and air quality time seri...